GCP Cloud Architect

SoftwareOne; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

World-class learning and development programs

Opportunities for global career growth

Diverse and inclusive work environment

Résumé du poste

A global AI-powered software provider is seeking a Cloud Solution Architect & AI Specialist in Paris. You will assist customers in adopting Google Cloud Platform and designing next-generation AI-driven solutions. Responsibilities include leading discovery sessions, creating solution architectures, and supporting deal closures by addressing technical objections. Candidates should have expertise in GKE, data integration, and strong pre-sales experience. This role offers a chance to work in a purpose-driven culture and grow within a dynamic team.

Qualifications

• Mastery of Google Kubernetes Engine, VPC networking, IAM, and Security.
• Capacity to connect enterprise data sources with AI models.
• Proven experience in technical pre‑sales and solution design.

Responsabilités

• Lead workshops and assessments to capture technical and business requirements.
• Design end‑to‑end solution architectures integrating AI.
• Prepare solution blueprints, detailed architecture diagrams, and demos.

Connaissances

Expertise in Cloud Infrastructure

Data Integration

Generative AI frameworks knowledge

Infrastructure as Code (Terraform)

Excellent communication

Formation

Google Professional Cloud Architect

Google Professional Data Engineer or Machine Learning Engineer

Google Workspace Administrator (Bonus)

Outils

Google Kubernetes Engine (GKE)

CI/CD pipelines

APIs

Description du poste

Job Overview

As a Cloud Solution Architect & AI Specialist, you will support customers in adopting Google Cloud Platform (GCP) and architecting next‑generation AI‑powered solutions. You act as a trusted advisor, bridging business challenges with technical cloud infrastructure, showcasing how Google AI (Gemini Entreprise), Cloud Infrastructure (GKE), and Data services elevate productivity and automation. You partner closely with Sales, Delivery teams, and Customer stakeholders to design impactful, scalable, and production‑ready solutions.

Key Responsibilities

• Discovery, Scoping & Client Engagement
  • Lead workshops, discovery sessions, and assessments to capture technical and business requirements linked to Cloud Infrastructure and AI integration.
  • Conduct organizational readiness evaluations for Generative AI adoption and modern workplace transformation programs.
  • Identify customer pain points and translate them into high‑value use cases integrating enterprise data sources.
• Solution Architecture & Delivery Design (GCP & AI)
  • Design end‑to‑end solution architectures integrating:
    • Enterprise AI integration (Gemini Enterprise, Vertex AI, Agent Builders).
    • Advanced Cloud Infrastructure (GKE, Service Mesh, Hybrid/Multi‑cloud networking).
    • Data Strategy & Integration (BigQuery, Cloud Storage, SQL, Dataflow) for RAG (Retrieval‑Augmented Generation) patterns.
  • Prepare solution blueprints, detailed architecture diagrams (HLD/LLD), demos, and technical Proof of Concepts (PoC).
  • Ensure the "Delivery‑readiness" of proposed solutions, collaborating with engineering teams to ensure seamless implementation.
  • Build compelling proposals, SOWs, effort estimates, and pricing models for GCP + AI‑driven engagements.
  • Respond to RFI/RFP requirements including technical validation, security architecture, and TCO analysis.
  • Support deal closure by addressing technical objections related to data privacy, AI governance, and infrastructure scaling.
• Proposal Development & PreSales Activities
  • Build compelling proposals, SOWs, effort estimates, and pricing models for GCP + AI‑driven engagements.
  • Respond to RFI/RFP requirements including technical validation, security architecture, and TCO analysis.
  • Support deal closure by addressing technical objections related to data privacy, AI governance, and infrastructure scaling.

Job Requirements

• Technical Skills
  • Expertise in Cloud Infrastructure: Mastery of Google Kubernetes Engine (GKE), VPC networking, IAM, and Security.
  • Strong experience in Data Integration: Capacity to connect enterprise data sources with AI models (ETL, API management, Vector Databases).
  • Deep knowledge of Generative AI frameworks: Gemini Enterprise, Vertex AI, and AI agent orchestration.
  • Proficiency in Infrastructure as Code (Terraform) and CI/CD pipelines to ensure architectural consistency.
  • Understanding of compliance frameworks and AI Governance (Responsible AI).
• PreSales & Consulting Competencies
  • Proven experience in technical pre‑sales, solution design, and architecting complex cloud migrations.
  • Excellent communication: capable of presenting to C‑level and technical audiences.
  • Ability to translate business goals into technical roadmaps that deliver ROI.
• Preferred Certifications
  • Google Professional Cloud Architect
  • Google Professional Data Engineer or Machine Learning Engineer
  • Google Workspace Administrator (Bonus)

Company Description

SoftwareOne and Crayon have come together to form a global, AI‑powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world‑class learning and development programs. Whether you’re passionate about cloud, software, data, AI, or building meaningful client relationships, you’ll find a place to thrive here. Join us and be part of a purpose‑driven culture where your ideas matter, your growth is supported, and your career can go global.